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首页> 外文会议>Sensors, and command, control, communications, and intelligence (C3I) technologies for homeland security and homeland defense IX >Homeland Security Application of the Army Soft Target Exploitation and Fusion (STEF) System
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Homeland Security Application of the Army Soft Target Exploitation and Fusion (STEF) System

机译：陆军软目标开发与融合（STEF）系统在国土安全中的应用

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A fusion system that accommodates both text-based extracted information along with more conventional sensor-derived input has been developed and demonstrated in a terrorist attack scenario as part of the Empire Challenge (EC) 09 Exercise. Although the fusion system was developed to support Army military analysts, the system, based on a set of foundational fusion principles, has direct applicability to department of homeland security (DHS) & defense, law enforcement, and other applications.rnSeveral novel fusion technologies and applications were demonstrated in EC09. One such technology is location normalization that accommodates both fuzzy semantic expressions such as behind Library A, across the street from the market place, as well as traditional spatial representations. Additionally, the fusion system provides a range of fusion products not supported by traditional fusion algorithms. Many of these additional capabilities have direct applicability to DHS.rnA formal test of the fusion system was performed during the EC09 exercise. The system demonstrated that it was able to (1) automatically form tracks, (2) help analysts visualize behavior of individuals over time, (3) link key individuals based on both explicit message-based information as well as discovered (fusion-derived) implicit relationships, and (4) suggest possible individuals of interest based on their association with High Value Individuals (HVI) and user-defined'key locations.
机译：作为帝国挑战（EC）09演习的一部分，已经开发出一种融合系统，该融合系统既可以容纳基于文本的提取信息，也可以容纳更常规的传感器输入，并且已经在恐怖袭击中得到了证明。尽管融合系统是为支持陆军军事分析人员而开发的，但该系统基于一套基本的融合原理，可直接应用于国土安全部（DHS）和国防，执法部门及其他应用。rn EC09演示了这些应用程序。一种这样的技术是位置规范化，它可以同时容纳模糊语义表达（例如在图书馆A后面，市场对面的街道）以及传统的空间表示形式。另外，融合系统提供了传统融合算法不支持的一系列融合产品。这些附加功能中的许多功能都直接适用于DHS。rn在EC09演习中对融合系统进行了正式测试。该系统表明，它能够（1）自动形成跟踪，（2）帮助分析人员可视化个人随时间的行为，（3）基于显式的基于消息的信息以及发现的（融合衍生的）链接关键个人隐式关系，以及（4）根据与高价值个体（HVI）和用户定义的“关键位置”的关联来建议可能感兴趣的个体。

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